Inès Saab
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in ⓘ
-
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 detection and testing 1
- Co-authors
- Guillaume Chassagnon (6 shared papers)Souhail Bennani (3 shared papers)Séverine Dangeard (3 shared papers)Marie‐Pierre Revel (2 shared papers)Mickaël Tordjman (4 shared papers)Marie‐Pierre Revel (4 shared papers)Christine Lorut (1 shared paper)Hendy Abdoul (1 shared paper)
- Journals
- Diagnostic and Interventional Imaging (2 papers)European Respiratory Journal (1 paper)Arthritis Research & Therapy (1 paper)European Journal of Radiology (1 paper)PLoS ONE (1 paper)
- Partner nations
- FranceUnited States
In The Last Decade
Inès Saab
6 papers receiving 606 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Internal Medicine 111
- Infectious Diseases 395
- Critical Care and Intensive Care Medicine 77
- Radiology, Nuclear Medicine and Imaging 248
- Neurology 146
Countries citing papers authored by Inès Saab
This map shows the geographic impact of Inès Saab's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Inès Saab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inès Saab more than expected).
Fields of papers citing papers by Inès Saab
This network shows the impact of papers produced by Inès Saab. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Inès Saab. The network helps show where Inès Saab may publish in the future.
Co-authors
The 23 scholars most cited alongside Inès Saab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | COVID-19 pneumonia: A review of typical CT findings and differential diagnosis Hit paper breakdown → | 2020 | 297 |
| 2 | 2020 | 259 | |
| 3 | 2020 | 36 | |
| 4 | 2020 | 15 | |
| 5 | 2020 | 8 | |
| 6 | 2022 | 6 |
About Inès Saab
Inès Saab is a scholar working on Infectious Diseases, Internal Medicine, Neurology, Radiology, Nuclear Medicine and Imaging and Emergency Medicine, having authored 6 papers that have together received 621 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), COVID-19 diagnosis using AI (4 papers), Long-Term Effects of COVID-19 (3 papers), Vasculitis and related conditions (1 paper), Otitis Media and Relapsing Polychondritis (1 paper), SARS-CoV-2 detection and testing (1 paper), IgG4-Related and Inflammatory Diseases (1 paper) and Hematological disorders and diagnostics (1 paper). The work is most often cited by research in Internal Medicine (111 citations), Infectious Diseases (395 citations), Critical Care and Intensive Care Medicine (77 citations), Radiology, Nuclear Medicine and Imaging (248 citations) and Neurology (146 citations). Inès Saab has collaborated with scholars based in France and United States. Frequent co-authors include Guillaume Chassagnon, Souhail Bennani, Séverine Dangeard, Marie‐Pierre Revel, Mickaël Tordjman, Marie‐Pierre Revel, Christine Lorut, Hendy Abdoul, Laure Fournier and Olivier Sanchez. Their work appears in journals such as Diagnostic and Interventional Imaging, European Respiratory Journal, Arthritis Research & Therapy, European Journal of Radiology and PLoS ONE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.